Quick multi-keyword semantic sorting search method for protecting data privacy in cloud computing

Abstract

The invention relates to a quick multi-keyword semantic sorting search method for protecting data privacy in cloud computing. A domain weighted scoring concept is introduced in document scoring, and keywords in different domains such as a title, an abstract and the like are endowed with different weights to be distinguished; a retrieval keyword is subjected to semantic expansion, semantic similarity is calculated, a three-factor sorting method is designed by combining the semantic similarity, the domain weighted scoring and a correlation score, and a cloud server can perform accurate sorting on search results and return a sorting result to a search user; and for the defect of low query efficiency of a searchable encryption scheme, a vector block segmentation marking matching algorithm is designed, and a document vector created by a vector space model is subjected to block segmentation to generate a marking vector with a relatively small dimension number. According to the method, the query efficiency can be improved, the index creation time can be shortened, and semantic ciphertext keyword search is realized.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a fast multi-keyword semantic sorting search method for protecting data privacy in cloud computing. Background technique [0002] With the rapid development of cloud computing technology, more and more sensitive data are stored in the cloud, such as emails, personal health records, private videos and photos, company financial data and government documents. Cloud servers provide high-quality data storage services, and storing data in the cloud can reduce users' data storage and maintenance costs. However, if the data owner and the cloud server are not in the same trust domain, the outsourced data will be at risk. In order to protect the privacy of users, it is a common solution to encrypt the data and then store it in the cloud server. However, after the data is encrypted, it no longer has the original characteristics. When users need some data, they cannot directly distinguish the...

AI Technical Summary

Problems solved by technology

However, these semantic fuzzy search schemes do not take semantic similarity into the scoring of documents and ignore the weight difference of keywords in different domains

[0005] In view of the problems of low query efficiency, long index creation time, and inaccurate sorting results in the current ciphertext keyword search scheme, the present invention proposes a ciphertext key that can improve query efficiency, reduce index creation time, and realize semantic word search scheme

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